Gene expression signature for highly liver metastatic colon cancer cell line
Ontology highlight
ABSTRACT:
ORGANISM(S): Mus musculus
SUBMITTER: Maria Marjorette Pena
PROVIDER: E-GEOD-67675 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
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Project description:The innate immune system is vital to rapidly responding to pathogens and Toll-like receptors (TLRs) are a critical component of this response. Nanovesicular exosomes play a role in immunity, but to date their exact contribution to the dissemination of the TLR response is unknown. To understand the effect of exosomal cargo released from locally stimulated cells on distal cell expression, we collected exosomes from local ovarian adenocarcinoma (HEY) cells that were either unstimulated (control-exosomes), stimulated with pIC (pIC-exosomes), or lipopolysaccharide (LPS-exosomes) for 48 hours. The three groups of exosomes were added to naïve (distal) cells and the gene expression profiles were compared between local TLR stimulation (for 6 hours) and distal stimulation mediated by exosomes at the 48-hour time point The goal of the study was to delineate the differential effector function of TLR-exosomes based on the innate immune activation state (control-, LPS-, pIC-stimulation) of the cell of origin in vitro. We used microarrays to understand the changes in gene expression in 2 samples of local hey cells either unstimulated(control) or stimulated with poly(I:C) or LPS each. We also profiled 2 samples of distal naïve cells that were exposed to either control, LPS or poly(I:C) exosomes from local cells. Here we show that exosomes from TLR stimulated cells (TLR-exosomes) can largely recapitulate TLR activation in distal cells in vitro. We can abrogate the action-at-a-distance signaling of exosomes by UV irradiation, demonstrating that RNA is crucial for their effector function. This work definitively establishes the differential effector function for TLR-exosomes in communicating the activation state of the cell of origin. HEY cells were either unstimulated (Local control) or stimulated with LPS or poly (I:C) for 6 hours and the RNA from these cells was profiled using a microarray. Exosomes were collected from local cells that were unstimulated or stimulated for 48 hours and added to distal (naive) HEY cells that were exposed to control exosomes, LPS exosomes or pIC exosomes and then the RNA was collected for analysis by microarray. mRNA expression was captured on Affymetrix U133 Plus 2 chips. mRNA microarray data were analyzed using the Expression Console software (Affymetrix) and Bioconductor tools written in the R statistical programming language. Pre-processing of raw signal intensities and normalization was performed using GCRMA (R). Linear modelling of the transformed data was determined by using Limma in R with the Benjamini and Hochberg correction. Differentially expressed probesets were identified using a threshold 5% FDR correction and a fold change ⥠1.4 was applied
2016-05-17 | E-GEOD-81248 | biostudies-arrayexpress
Project description:MicroRNAs (miRNAs) are small non-coding RNAs that play a central role in the regulation of gene expression at the post transcriptional and/or translational level thus impacting various biological processes. Dysregulation of miRNAs could affect processes associated with progression of a variety of diseases including cancer. Majority of miRNA targeting in animals involves a 7-nt M-bM-^@M-^\seed regionM-bM-^@M-^] mapping to positions 2-8 at the moleculeM-bM-^@M-^Ys 5' end. The importance of this 7 nt sequence to miRNA function is evidenced by the fact that the seed region sequence of many miRNAs is highly conserved within and between species. In this study, we computationally and experimentally explore the functional significance of sequence variation within the seed region of human miRNAs. Our results indicate that change of a single nt within the 7-nt seed region changes the spectrum of targeted mRNAs significantly meanwhile further nt changes have little to no additional effect. This high functional cost of even a single nucleotide change within the seed region of miRNAs explains why the seed sequence is highly conserved among many miRNA families both within and between species and could help clarify the likely mechanisms underlying the evolution of miRNA regulatory control. mRNAs were collected from 3 M12 miRNA treated and 3 negative control miRNA treated HEY ovarian cancer cell samples. mRNA expression was captured on Affymetrix U133 Plus 2 chips. To compare mRNA expression pattern between the M12 treated cells and the negative control treated cells, present/absent calls were generated using MAS5, while signals were calculated using GCRMA and then log2 transformed. Expression of differentially expressed genes or down regulated miRanda-mirSVR predicted miRNA target genes was compared between miRNA treated samples.
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2015-01-30 | E-GEOD-61229 | biostudies-arrayexpress
Project description:MicroRNAs (miRNAs) are small non-coding RNAs that play a central role in the regulation of gene expression at the post transcriptional and/or translational level thus impacting various biological processes. Dysregulation of miRNAs could affect processes associated with progression of a variety of diseases including cancer. Majority of miRNA targeting in animals involves a 7-nt M-bM-^@M-^\seed regionM-bM-^@M-^] mapping to positions 2-8 at the moleculeM-bM-^@M-^Ys 5' end. The importance of this 7 nt sequence to miRNA function is evidenced by the fact that the seed region sequence of many miRNAs is highly conserved within and between species. In this study, we computationally and experimentally explore the functional significance of sequence variation within the seed region of human miRNAs. Our results indicate that change of a single nt within the 7-nt seed region changes the spectrum of targeted mRNAs significantly meanwhile further nt changes have little to no additional effect. This high functional cost of even a single nucleotide change within the seed region of miRNAs explains why the seed sequence is highly conserved among many miRNA families both within and between species and could help clarify the likely mechanisms underlying the evolution of miRNA regulatory control. mRNAs were collected from 3 M14 miRNA treated and 3 negative control miRNA treated HEY ovarian cancer cell samples. mRNA expression was captured on Affymetrix U133 Plus 2 chips. To compare mRNA expression pattern between the M14 treated cells and the negative control treated cells, present/absent calls were generated using MAS5, while signals were calculated using GCRMA and then log2 transformed. Expression of differentially expressed genes or down regulated miRanda-mirSVR predicted miRNA target genes was compared between miRNA treated samples.
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Project description:MicroRNAs (miRNAs) are small non-coding RNAs that play a central role in the regulation of gene expression at the post transcriptional and/or translational level thus impacting various biological processes. Dysregulation of miRNAs could affect processes associated with progression of a variety of diseases including cancer. Majority of miRNA targeting in animals involves a 7-nt M-bM-^@M-^\seed regionM-bM-^@M-^] mapping to positions 2-8 at the moleculeM-bM-^@M-^Ys 5' end. The importance of this 7 nt sequence to miRNA function is evidenced by the fact that the seed region sequence of many miRNAs is highly conserved within and between species. In this study, we computationally and experimentally explore the functional significance of sequence variation within the seed region of human miRNAs. Our results indicate that change of a single nt within the 7-nt seed region changes the spectrum of targeted mRNAs significantly meanwhile further nt changes have little to no additional effect. This high functional cost of even a single nucleotide change within the seed region of miRNAs explains why the seed sequence is highly conserved among many miRNA families both within and between species and could help clarify the likely mechanisms underlying the evolution of miRNA regulatory control. mRNAs were collected from 3 miR-429 treated and 3 negative control miRNA treated HEY ovarian cancer cell samples. mRNA expression was captured on Affymetrix U133 Plus 2 chips. To compare mRNA expression pattern between the miR-429 treated cells and the negative control treated cells, present/absent calls were generated using MAS5, while signals were calculated using GCRMA and then log2 transformed. Expression of differentially expressed genes or down regulated miRanda-mirSVR predicted miRNA target genes was compared between miRNA treated samples.
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